{"id":"W2116719857","doi":"10.1002/cjs.10120","title":"Modal simulation and visualization in finite mixture models","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Confidence interval; Statistics; Inference; Modal; Humanities; Mathematics; Statistical inference; Computer science; Algorithm; Artificial intelligence; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003884642,0.0006178227,0.0007070256,0.001444792,0.0005664053,0.001997768,0.001125934,0.001107107,0.004301515],"category_scores_gemma":[0.02087275,0.0006231602,0.0008433661,0.0008451049,0.001559952,0.001871038,0.002509683,0.001457144,0.0004122474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001254229,"about_ca_system_score_gemma":0.000984868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007960388,"about_ca_topic_score_gemma":0.005238837,"domain_scores_codex":[0.9977635,0.001585994,0.00005208723,0.0001672151,0.0003670137,0.00006411876],"domain_scores_gemma":[0.991846,0.006691822,0.0003535353,0.0004933252,0.0004442509,0.0001711022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001552806,0.00004487469,0.002080331,0.00009931088,0.00007936615,0.0001336602,0.0006898907,0.607062,0.003402927,0.3246444,0.002210619,0.05939724],"study_design_scores_gemma":[0.000008140848,0.000006019573,0.0001313668,0.00000879202,0.000003112934,0.00002027215,0.00001402297,0.9405357,0.0004714305,0.05764436,0.001145931,0.00001081297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007322857,0.0001376438,0.9908441,0.0001904107,0.00001466894,0.00001531943,0.00004273756,0.000374598,0.001057644],"genre_scores_gemma":[0.4600271,0.0003436551,0.5370449,0.0001171134,0.00003682079,0.0001667866,0.0001646735,0.00024702,0.001851989],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007960388,"threshold_uncertainty_score":0.02054423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05037443672395695,"score_gpt":0.2753435346034728,"score_spread":0.2249690978795158,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}